article

Personal Internet use at work: Understanding cyberslacking

Authors:

Robert LaRoseAuthors Info & Claims

Computers in Human Behavior, Volume 27, Issue 5

Pages 1751 - 1759

https://doi.org/10.1016/j.chb.2011.03.002

Published: 01 September 2011 Publication History

Abstract

Cyberslacking, typically defined as the use of Internet and mobile technology during work hours for personal purposes, is a growing concern for organizations due to the potential in lost revenue; however, the majority of academic research in this area has focused on a limited number of cyberslacking behaviors and/or employed small, non-representative samples. In order to address these limitations, the present study employs a nationally representative sample of American workers and tests the relationship between nine cyberslacking behaviors and a variety of demographic and work-specific predictors. Three measures of cyberslacking are employed to provide a richer analysis of the phenomenon: individual behaviors, frequency of cyberslacking, and variety of cyberslacking. Results indicate that being younger, male, and a racial minority positively predict cyberslacking variety and frequency, as do routinized Internet use at work and higher perceived Internet utility. Results are discussed as to how the present study expands on previous research, and directions for future research are indicated.

References

[1]

The theory of planned behavior. Organizational Behavior and Human Decision Processes. v50. 179-211.

[2]

Understanding attitudes and predicting social behavior. Prentice-Hal, Upper Saddle River, NJ.

[3]

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice Hall.

[4]

Correlates of different forms of cyberloafing: The role of norms and external locus of control. Computers in Human Behavior. v24. 1067-1084.

Digital Library

[5]

Non-work related computing (NWRC). Communications of the ACM. v52. 124-128.

Digital Library

[6]

Internet addiction: Metasynthesis of quantitative research 1996-2006. CyberPsychology & Behavior. v12. 203-207.

[7]

Determinants of the intention to use Internet/WWW at work: A confirmatory study. Information & Management. v39. 1-14.

Digital Library

[8]

An empirical evaluation of key factors contributing to Internet abuse in the workplace. Industrial Management and Data Systems. v108. 87-106.

[9]

Workplace worries: A preliminary look at online sexual activities at the office - emerging issues for clinicians and employers. CyberPsychology & Behavior. v9. 22-29.

[10]

Day, M. G., Gehringer, E. F. (2002). Educators and pornography: the unacceptable use of school computers. In Proceedings of the 2002 IEEE international symposium on technology and society (pp. 340-344).

[11]

Do current anti-cyberloafing disciplinary practices have a replica in research findings?. Internet Research. v16. 450-467.

[12]

Psychology of communication technology use in the workplace. CyberPsychology & Behavior. v10. 436-443.

[13]

Disaffection or expected outcomes: Understanding personal Internet use during work. Journal of Computer-Mediated Communication. v13. 937-958.

[14]

On cyberslacking: Workplace status and personal Internet use at work. CyberPsychology & Behavior. v11. 287-292.

[15]

Lost in cyberspace: The Web @ work. CyberPsychology & Behavior. v5. 347-353.

[16]

The organizational benefits of reducing cyberslacking in the workplace. Journal of Organizational Culture, Communications, and Conflict. v8. 55-62.

[17]

Cybercompulsions: Media habits, media addictions and the Internet. In: Lee, P., Leung, L., So, C. (Eds.), Impact and issues in new media: Toward intelligent societies, Hampton Press, Cresskill, NJ.

[18]

The problem of media habits. Communication Theory. v20. 194-222.

[19]

A social cognitive theory of Internet uses and gratifications: Toward a new model of media attendance. Journal of Broadcasting and Electronic Media. v48. 358-377.

[20]

Social networking: Addictive, compulsive, problematic, or just another media habit?. In: Papacharissi, Z. (Ed.), A networked self: Identity, community, and culture on social network sites, Routledge, NY. pp. 59-81.

[21]

Cyberslacking and the procrastination superhighway: A web-based survey of online procrastination, attitudes, and emotion. Social Science Computer Review. v19. 431-444.

Digital Library

[22]

Lenhart, A., Purcell, K., Smith, A., Zickhur, K. (2010). Social media and mobile Internet use among teens and young adults. Washington, DC: Pew Internet & American Life Project.

[23]

The IT way of loafing on the job: Cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior. v23. 675-694.

[24]

Prevalence, perceived seriousness, justification and regulation of cyberloafing in Singapore: An exploratory study. Information & Management. v42. 1081-1103.

Digital Library

[25]

How do I loaf here? Let me count the ways. Communications of the ACM. v45. 66-70.

Digital Library

[26]

Madden, M. (2009). The audience for online video-sharing sites shoots up. Washington, DC: Pew Internet & American Life Project.

[27]

Madden, M., Jones, J. (2008). Networked workers. Washington, DC: Pew Internet & American Life Project.

[28]

Predicting cyber-production deviance in the workplace. International Journal of Internet and Enterprise Management. v4. 314-330.

[29]

Personal use of work computers: Distraction versus destruction. CyberPsychology & Behavior. v9. 730-741.

[30]

Cyberslacking! A wired-workplace liability issue. Cornell Hotel and Restaurant Administration Quarterly. v42. 34-47.

[31]

Constructive approaches to Internet recreation in the workplace. Communications of the ACM. v45. 60-63.

Digital Library

[32]

Oswalt, B., Elliott-Howard, F., Austin, S. F. (2003). Cyberslacking-Legal and ethical issues facing IT managers. Paper presented at the annual conference of the International Association for Computer Information Systems. Las Vegas, NV.

[33]

Explaining non-work-related computing in the workplace: A comparison of alternative models. Information & Management. v45. 120-130.

Digital Library

[34]

Games at work: The recreational use of games during work hours. CyberPsychology & Behavior. v12. 461-465.

[35]

A typology of deviant workplace behaviors: A multidimensional scaling study. The Academy of Management Journal. v38. 555-572.

[36]

Salary.com. (2009). The 2008 wasting time at work survey reveals a record number of people waste time at work. <http://www.salary.com/personal/layoutscripts/psnl_articles.asp?tab=psn&cat=cat011&ser=ser033&part=par1083> retrieved 15.12.09.

[37]

Aligning Internet usage with business priorities. Communications of the ACM. v45. 71-74.

Digital Library

[38]

Company profile of the frequent Internet user. Communications of the ACM. v45. 55-59.

Digital Library

[39]

Profiling cyber-slackers in the workplace: Demographic, cultural, and workplace factors. Journal of Internet Commerce. v6. 75-89.

[40]

Reflections on past behavior: A self-report index of habit strength. Journal of Applied Social Psychology. v33. 1313-1330.

[41]

Websense, Inc. Web@Work (2006). <http://www.securitymanagement.com/archive/library/websense_technofile0906.pdf> retrieved 03.12.09.

[42]

Zafar, A. (2008). Study: Employees see benefits to 'cyberloafing'. <http://www.thestandard.com/news/2008/09/15/study-employees-see-benefits-cyberloafing> retrieved 11.12.09.

[43]

Zhang, D., Oh, L. B., Teo, H. H. (2006). An experimental study of the factors influencing non-work related use of IT resources at workplace. In Proceedings of the 39th annual Hawaii international conference on system sciences (p. 206a).

Digital Library

Cited By

Oravec J(2023)The Shape of Workbreaks to ComeJournal of Organizational and End User Computing10.4018/JOEUC.32959635:3(1-17)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.4018/JOEUC.329596
Heidari EMoghaddam ASalimi G(2023)Cyberloafing in academia: a sequential exploration into students’ perceptionsEducation and Information Technologies10.1007/s10639-022-11524-428:7(8113-8133)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1007/s10639-022-11524-4
Bajcar BBabiak J(2023)Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at WorkComputational Science – ICCS 202310.1007/978-3-031-35995-8_36(509-523)Online publication date: 3-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35995-8_36
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Copyright © Elsevier Ltd © 2011.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 September 2011

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Cited By

Oravec J(2023)The Shape of Workbreaks to ComeJournal of Organizational and End User Computing10.4018/JOEUC.32959635:3(1-17)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.4018/JOEUC.329596
Heidari EMoghaddam ASalimi G(2023)Cyberloafing in academia: a sequential exploration into students’ perceptionsEducation and Information Technologies10.1007/s10639-022-11524-428:7(8113-8133)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1007/s10639-022-11524-4
Bajcar BBabiak J(2023)Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at WorkComputational Science – ICCS 202310.1007/978-3-031-35995-8_36(509-523)Online publication date: 3-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35995-8_36
Chou YChien YLin YLin KShih FChang Y(2022)Because I’m Restricted, 2 – 4 PM Unable to See Messages: Exploring Users’ Perceptions and Likely Practices around Exposing Attention Management Use on IM Online StatusProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517616(1-18)Online publication date: 29-Apr-2022
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Zhang YTian YYao LDuan CSun XNiu G(2022)Individual differences matter in the effect of teaching presence on perceived learningComputers & Education10.1016/j.compedu.2021.104427179:COnline publication date: 1-Apr-2022
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Huang NZhang JBurtch GLi XChen P(2021)Combating Procrastination on Massive Online Open Courses via Optimal Calls to ActionInformation Systems Research10.1287/isre.2020.097432:2(301-317)Online publication date: 1-Jun-2021
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Kovacs GWu ZBernstein MKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It ImminentlyProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445695(1-14)Online publication date: 6-May-2021
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Kwak DMa XKim S(2021)When does social desirability become a problem? Detection and reduction of social desirability bias in information systems researchInformation and Management10.1016/j.im.2021.10350058:7Online publication date: 1-Nov-2021
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Derks DBakker AGorgievski M(2021)Private smartphone use during worktimeComputers in Human Behavior10.1016/j.chb.2020.106530114:COnline publication date: 1-Jan-2021
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